Person Tracking Information Processing for Cross-Identity Suspicion Detection
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Solution Overview
Problem
Existing surveillance systems fail to accurately identify suspicious individuals when tracking information switches between persons, leading to missed detections of individuals exhibiting multiple suspicious behaviors.
Innovation Solution
An information processing apparatus that generates provisional tracking information by estimating switching events and combining tracking information to determine if a person has engaged in multiple suspicious behaviors, thereby preventing overlooking of such individuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If tracking information is switched between persons when they cross each other, then the tracking system can continue operating without interruption, but the determination of suspicious persons becomes inaccurate
Solution Approach 1:
The system performs preliminary estimation of switching events before they affect suspicious person determination. By detecting crossing situations in advance and estimating which person's tracking information should be followed, the system prepares corrected tracking paths beforehand, ensuring both continuous operation and accurate determination.
Solution Approach 2:
The system introduces an intermediary estimation mechanism that mediates between the raw tracking information (which switches between persons) and the final suspicious person determination. This intermediary layer estimates switching events and generates corrected tracking information, filtering out the inaccuracies while maintaining operational continuity.
2Ease of operation
If the system only presents information on persons who have crossed, then user confirmation becomes easier, but the system cannot reliably determine suspicious behaviors when switching occurs
Solution Approach 1:
The system performs self-correction by automatically estimating switching events and generating corrected tracking information without requiring user intervention. The estimation unit autonomously identifies crossing situations and determines which tracking information should be followed, making the system both easy to operate and reliable in its detections.
Solution Approach 2:
The system incorporates feedback mechanisms where the estimation unit continuously monitors tracking information for switching events and adjusts the tracking paths accordingly. This feedback loop ensures that the system maintains accurate tracking and reliable suspicious person determination while operating autonomously without user confirmation.
3Measurement precision
If the same person takes multiple predetermined behaviors, then suspicious person determination becomes more accurate, but switching events cause the system to miss these connections
Solution Approach 1:
The system performs preliminary estimation of switching events before they cause loss of behavior sequence information. By detecting crossings and estimating the correct tracking paths in advance, the system preserves the connection between multiple behaviors performed by the same person, preventing information loss while maintaining high determination accuracy.
Data Source
AI summary
An information processing apparatus as one aspect of the present invention detects a predetermined behavior of a person, specifies first tracking information of a first person for which the predetermined behavior has been detected and second tracking information of a second person for which it is estimated that replacement has occurred during movement of the first person, generates third tracking information based on the first tracking information and the second tracking information, and determines whether or not the first person satisfies a predetermined condition based on a detection result of the predetermined behavior corresponding to the third tracking information.